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    • Bigquery
    Related topics:Qwiklabs應用機器學習特色工程GCP安全認證Google

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    ''bigquery'的 126 個結果

    • Google Cloud

      Google Cloud

      From Data to Insights with Google Cloud

      您將獲得的技能: Analysis, Business Psychology, Cloud Computing, Cloud Platforms, Cloud Storage, Computer Architecture, Data Analysis, Data Management, Data Visualization, Database Administration, Databases, Dataflow, Design and Product, Distributed Computing Architecture, Entrepreneurship, Full-Stack Web Development, Google Cloud Platform, Leadership and Management, Machine Learning, Market Research, Marketing, Product Management, Product Marketing, Research and Design, SQL, Sales, Statistical Programming, Strategy and Operations, Web Development

      4.6

      (4.1k 條評論)

      Beginner · Specialization

    • Coursera Project Network

      Coursera Project Network

      Working with BigQuery

      您將獲得的技能: Big Data, Statistical Programming, SQL, Databases, Data Management, Data Visualization

      4.3

      (50 條評論)

      Beginner · Guided Project

    • Google Cloud

      Google Cloud

      Exploring ​and ​Preparing ​your ​Data with BigQuery

      您將獲得的技能: Full-Stack Web Development, Product Management, Sales, Strategy and Operations, Data Analysis, Distributed Computing Architecture, Cloud Storage, Marketing, Databases, Bigquery, Analysis, Market Research, Entrepreneurship, Statistical Programming, Computer Architecture, Leadership and Management, Research and Design, Cloud Platforms, SQL, Product Marketing, Cloud Computing, Data Management, Web Development, Design and Product, Dataflow, Google Cloud Platform

      4.7

      (3.1k 條評論)

      Beginner · Course

    • Google Cloud

      Google Cloud

      ETL Processing on Google Cloud Using Dataflow and BigQuery

      Intermediate · Project

    • Google Cloud

      Google Cloud

      Introduction to SQL for BigQuery and Cloud SQL

      您將獲得的技能: Distributed Computing Architecture, SQL, Databases, Google Cloud Platform, Statistical Programming, DevOps, Cloud Computing, Web Development, Data Management, Full-Stack Web Development, Computer Architecture

      5.0

      (22 條評論)

      Beginner · Project

    • Google Cloud

      Google Cloud

      Creating New BigQuery Datasets and Visualizing Insights

      您將獲得的技能: Full-Stack Web Development, Data Visualization, Distributed Computing Architecture, Statistical Programming, Computer Architecture, Bigquery, SQL, Cloud Computing, Data Management, Databases, Web Development

      4.6

      (1.6k 條評論)

      Beginner · Course

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      Google Cloud

      Google Cloud

      Serverless Data Analysis with Google BigQuery and Cloud Dataflow em Português Brasileiro

      4.7

      (21 條評論)

      Intermediate · Course

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      Google Cloud

      Google Cloud

      Exploring ​and ​Preparing ​your ​Data with BigQuery 日本語版

      您將獲得的技能: Bigquery, Cloud Computing, Google Cloud Platform

      4.7

      (6 條評論)

      Beginner · Course

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      Google Cloud

      Google Cloud

      Using BigQuery in the Google Cloud Console

      Beginner · Project

    • Placeholder
      Google Cloud

      Google Cloud

      Achieving Advanced Insights with BigQuery

      您將獲得的技能: Database Administration, Full-Stack Web Development, Cloud Computing, Bigquery, Databases, SQL, Distributed Computing Architecture, Computer Architecture, Statistical Programming, Mathematical Optimization, Data Management, Cloud Platforms, Web Development

      4.7

      (1.2k 條評論)

      Beginner · Course

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      Google Cloud

      Google Cloud

      BigQuery Soccer Data Analysis

      Beginner · Project

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      Google Cloud

      Google Cloud

      Datastream MySQL to BigQuery

      Beginner · Project

    與 bigquery 相關的搜索

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    1234…11

    總之,這是我們最受歡迎的 bigquery 門課程中的 10 門

    • From Data to Insights with Google Cloud: Google Cloud
    • Working with BigQuery: Coursera Project Network
    • Exploring ​and ​Preparing ​your ​Data with BigQuery: Google Cloud
    • ETL Processing on Google Cloud Using Dataflow and BigQuery: Google Cloud
    • Introduction to SQL for BigQuery and Cloud SQL: Google Cloud
    • Creating New BigQuery Datasets and Visualizing Insights: Google Cloud
    • Serverless Data Analysis with Google BigQuery and Cloud Dataflow em Português Brasileiro: Google Cloud
    • Exploring ​and ​Preparing ​your ​Data with BigQuery 日本語版: Google Cloud
    • Using BigQuery in the Google Cloud Console: Google Cloud
    • Achieving Advanced Insights with BigQuery: Google Cloud

    關於 Bigquery 的常見問題

    • BigQuery is a serverless data warehouse that uses the Google Cloud platform. Data warehouses are critical components of data infrastructure required to collect and store data from a variety of sources for use within an organization, but building and maintaining warehouses at the scale necessary for today’s massive datasets can be expensive and time-consuming. By using cloud computing to enable rapidly-scalable analysis over petabytes of data, BigQuery is an important software as a service (SaaS) solution for companies looking to harness the power of big data flexibly and cost-effectively.

      Like other relational database management systems (RDBMS), BigQuery uses the Structured Query Language or SQL to enable users to quickly store, retrieve, manage, and manipulate data. The Google Cloud platform also provides access to a variety of tools from Google and its partners, including Cloud Dataprep to automate the creation of data cleansing pipelines as well as built-in machine learning capabilities to generate insights from large-scale datasets. There are also a wide range of third-party tools that can be used with BigQuery for data visualization and other tasks.‎

    • A background in the use of BigQuery is an increasingly common requirement for a career as a data engineer. These specialized professionals in the creation and maintenance of data infrastructure are critical to the work of data science, which requires the delivery of massive datasets in a form that can be readily analyzed and utilized. And, like other cloud computing solutions, BigQuery is becoming popular with a growing number of tech companies due to its flexibility and cost-effectiveness compared to on premises data warehousing.

      Given the fast-growing interest in using big data across virtually every industry, it’s no surprise that data engineer jobs are in high demand - and highly paid. According to Glassdoor, data engineers in the U.S. earn an average base pay of $102,864 per year.‎

    • Yes! In fact, Coursera lets you learn about BigQuery directly from Google itself. Google Cloud offers a variety of learning opportunities through the Coursera Platform, including individual courses in BigQuery specifically as well as Specializations that span multiple courses and topics including BigQuery skills. If you want to get a valuable career credential, you can even complete coursework for a Google Cloud Professional Data Engineer certification.

      Regardless of your needs, the ability to study and complete course materials on your own schedule means that learning on Coursera is just as flexible - and powerful - as cloud computing-based SaaS solutions like BigQuery.‎

    • Before learning BigQuery, it's very advantageous to have experience writing queries using SQL. You should also have experience using databases. You may also want to be familiar with the Google Cloud Platform and have experience with cloud computing.‎

    • Topics related to BigQuery that you can study include Google Sheets, Google Data Studio, data analytics, and the cloud. You might also be interested in learning about other big data tools, such as Redshift, DigitalOcean, S3, Apache Spark, Hadoop, and Hydra. Other technologies may also be of interest to you, such as TypeScript, auto-scaling clusters, Python, machine learning, and continuous deployment.‎

    • Places that hire people with a background in BigQuery include companies that are using BigQuery to manage and analyze their data. According to Google, this includes UPS, Twitter, Major League Baseball (MLB), The Home Depot, Dow Jones, Toyota, American Cancer Society, Target, 20th Century Fox, and many more. Companies in retail, financial services, media and entertainment, health care and life sciences, and government are just a few industries that hire people with a background in BigQuery across the world.‎

    • If you're a company, data scientist, data analyst, or individual looking for a platform that can analyze petabytes of data in the convenience of the cloud, learning BigQuery is a good fit for you. If your current data analytics processes run slower than you want or aren't giving you the data insights you need, learning BigQuery is worthwhile. BigQuery can help you manage and analyze marketing and sales data very quickly, for example. If that fits your needs, learning BigQuery may be right for you.‎

    此常見問題解答內容僅供參考。建議學生多做研究,確保所追求的課程和其他證書符合他們的個人、專業和財務目標。
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